Yan, T. and S. Baowen. Mechanism of the impact of online social network on enterprise e-business
model. in Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011
2nd International Conference on. 2011.
 Walaa Medhat , A.H ., Hoda Korashy, sentiment analysis algorithms and application: A survey. Ain
Shams Engineering Journal, 2014. 5: p. 1093–1113.
 Tundjungsari, V., Business Intelligence with Social Media andData Mining to Support Customer
Satisfaction in Telecommunication Industry. nternational Journal of Computer Science and
Electronics Engineering (IJCSEE) 1 (1).
Taghva, K., R. Beckley, and M. Sadeh. A stemming algorithm for the Farsi language. in Information
Technology: Coding and Computing, 2005. ITCC 2005. International Conference on. 2005.
 Stephen.G, M.W., Jure.L, The role of social networks in online shopping: information passing, price
of trust, and consumer choice. EC '11 Proceedings of the 12th ACM conference on Electronic
commerce Pages 157-166 .ACM 2011,2011.
Statista. Facebook number of monthly active users worldwide 2015; Available from:
Shams, M., A. Shakery, and H. Faili. A non-parametric LDA-based induction method for sentiment
analysis. in Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International
Symposium on. 2012.
 Rustamov, S., E. Mustafayev, and M.A. Clements. Sentiment analysis using Neuro-Fuzzy and Hidden Markov
models of text. in Southeastcon, 2013 Proceedings of IEEE. 2013.
 Qazi, A., et al. A Framework of Review Analysis for Enhancement of Business Decision Making. in Data Mining
Workshops (ICDMW), 2013 IEEE 13th International Conference on. 2013.
 Q .Mei, X.L., M. Wondra, H. Su, and C. Zhai, Topic sentiment mixture, in Proceedings of the 16th international
conference on World Wide Web 2007, WWW. p. 171.
 Poshyvanyk, D., et al. Combining Probabilistic Ranking and Latent Semantic Indexing for Feature Identification.
in Program Comprehension, 2006. ICPC 2006. 14th IEEE International Conference on. 2006.
 Paul, J., Trends und Megatrends in Business Intelligence. Controlling & Management Review, 2014. 58(1): p. 69-
 Nasukawa, T. and J. Yi, Sentiment analysis: capturing favorability using natural language processing, in
Proceedings of the 2nd international conference on Knowledge capture. 2003, ACM: Sanibel Island, FL, USA. p.
 Mostafa, M.M., More than words: Social networks’ text mining for consumer brand sentiments. Expert Systems
with Applications, 2013. 40(10): p. 4241-4251.
 Mohammad Ehsan Basiri* , A.R.n., Nasser Ghassem-Aghaee A Framework for Sentiment Analysis in Persian.
Open Transactions on Information Processing, 2014. 1 (3): p. 1-14.
 Mihaela Munteana, L.G.C., Vlad Rînciog, Social Business Intelligence: A New Perspective for Decision
Makers. Procedia - Social and Behavioral Sciences 124 ( 2014 ) 562 – 567, 2013.
 M. Dash, H.L., Feature Selection for Classification .Intelligent Data Analysis, 1997: p. 131-156.
 Liu, B. and L. Zhang, A Survey of Opinion Mining and Sentiment Analysis, in Mining Text Data, C.C. Aggarwal
and C. Zhai, Editors. 2012, Springer US. p. 415-463.